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| The
author of a text book, Henslin, wanted to make observations about
homeless people. |
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| His
method was participant observation. |
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| He
wanted to live with them and to experience what they experienced, and to
find out what they themselves thought about the meanings of what they were
doing. |
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| He
could not live with more than one homeless group at a time, so his sample
consisted of only one community among the thousands that exist throughout
North America and the rest of the world. |
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| If
we knew for sure that every homeless community was radically different
from every other one, then the validity of his findings would be very low. |
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| If
we believe, as we do, that there are many similarities between those communities,
his validity would be very high, much higher, for example, than if he went
around with a clipboard asking questions from a questionnaire. |
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| (See
that the method and the sampling technique are not as unrelated as one
might first imagine both in combination contribute to the level of validity). |
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| The
text book gives an example of a population being all the students of a
university, and a sample being those interviewed with a questionnaire. |
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| How
do you choose that sample? |
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| Do
you ask every fifth person walking down a particular hallway? |
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| Will
that bias your sample towards students taking those subjects taught in
the rooms in that hallway? |
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| Would
that bias affect the results? |
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| If
you were asking questions where there might be significantly different
answers from students taking one subject, rather than another, then that
method of sampling would bias the result. |
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| He
suggests that a random sample would be most valid. |
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| So
how do you choose a sample that is random? |
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| Here
you might exercise your imagination, initiative and creativity. |
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| How
much a proportion of the population should the sample be so that it is
valid? |
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| If
you interview only ten people out of a population of several thousand,
perhaps the results would not be as valid as it might be if you interviewed
a sample of one thousand. |
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| My
PhD research was based mainly on participant observation. See Why
Obo? |
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